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Fuzzy Jobs in Denison, TX (NOW HIRING)

All JobsFuzzy JobsFuzzy Jobs in Denison, TX

Fuzzy information

See Denison, TX salary details

$23.2K

$48K

$66.9K

How much do fuzzy jobs pay per year?

As of Aug 31, 2026, the average yearly pay for fuzzy in Denison, TX is $48,041.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,300.00 and $55,500.00 per year, depending on experience, location, and employer.

What is a fuzzy?

Fuzzy jobs are roles that focus on areas where definitions, boundaries, and requirements are less clear-cut compared to traditional positions. These jobs often involve creative problem-solving, adaptability, and working in environments with ambiguity or evolving objectives. Examples can include roles in innovation, strategy, product development, or emerging technology fields. People in fuzzy jobs typically need strong communication and collaboration skills to navigate uncertainty and drive progress. These roles are increasingly valuable as organizations face rapid change and complex challenges.

What is the difference between Fuzzy vs Data Analyst?

AspectFuzzyData Analyst
Required CredentialsTypically a degree in computer science, mathematics, or related fieldUsually a degree in statistics, mathematics, or related field
Work EnvironmentTech companies, startups, or industries focusing on AI and machine learningBusiness, finance, healthcare, and other sectors analyzing data
Employer & Industry UsageUsed in AI, machine learning, and software developmentUsed across various industries for data-driven decision making
Common Search & ComparisonOften compared for roles involving fuzzy logic and AICompared for roles involving data interpretation and reporting

Fuzzy and Data Analyst roles share some overlap in data handling and analytical skills, but Fuzzy is more focused on AI and fuzzy logic applications, while Data Analysts primarily interpret and visualize data for business insights.

What cities near Denison, TX are hiring for Fuzzy jobs?

Cities near Denison, TX with the most Fuzzy job openings:

Fuzzy jobs near you
Infographic showing various Fuzzy job openings in Denison, TX as of August 2026, with employment types broken down into 53% Full Time, 45% Part Time, and 2% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $48,041 per year, or $23.1 per hour.

GenAI/Python Senior Engineer

Anna, TX • On-site

Tata Consultancy Service Limited
See more jobs at Tata Consultancy Service Limitedexternal

$90K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Must Have Technical/Functional Skills
  • 5+ years of advanced professional Python development experience with production-grade coding practices.
  • Strong hands-on experience writing clean, tested, maintainable code using typing, pytest, packaging standards, Git, CI/CD, Docker, and code review discipline.
  • 1.5+ years of hands-on experience building GenAI / LLM applications in production using OpenAI, Azure OpenAI, Anthropic, Bedrock, or similar model APIs.
  • Experience building LLM-powered agents, including intent classification, domain-specific agents, agentic extraction flows, and multi-step orchestration.
  • Hands-on experience with Agentic AI frameworks or patterns such as LangChain, LangGraph, LlamaIndex, function calling, tool use, or custom orchestration.
  • Strong experience in structured output extraction from LLMs using JSON schema enforcement, Pydantic, retry/repair strategies, and validation logic.
  • Experience with RAG and vector search concepts including embeddings, chunking, hybrid search, reranking, entity resolution, fuzzy matching, confidence thresholds, and disambiguation flows.
  • Working knowledge of vector databases or search platforms such as pgvector, Pinecone, Weaviate, OpenSearch, Snowflake vector functions, or equivalent.
  • Strong API development experience using FastAPI or similar frameworks such as Flask or Django.
  • Experience with async Python and orchestration of parallel LLM/API calls.
  • Strong SQL skills and comfort working with large analytical datasets.
  • Cloud environment experience, preferably Azure; AWS or GCP acceptable.
  • Strong written and verbal communication skills, with ability to collaborate directly with engineering teams, product owners, and cross-functional stakeholders.

Roles & Responsibilities
  • Build and enhance LLM-powered agentic applications using Python.
  • Develop intent classification, domain-specialist agent workflows, and agentic extraction pipelines for complex user questions.
  • Build natural-language-to-structured-payload pipelines that convert user utterances into accurate JSON query payloads, including filters, exclusions, rankings, and metric selection.
  • Integrate semantic search and vector retrieval services for embedding-based entity resolution, fuzzy matching, confidence scoring, and disambiguation flows.
  • Design, build, and consume FastAPI-based microservices.
  • Implement async orchestration patterns for parallel LLM calls, API calls, and downstream service integrations.
  • Develop prompt engineering patterns, structured output enforcement, JSON schema validation, function calling, tool usage, and guardrails.
  • Build evaluation harnesses, test sets, and regression test frameworks to measure extraction accuracy and validate prompt/model changes.
  • Work with metadata/catalog services, entitlement-aware data access, and reporting-engine payload contracts.
  • Collaborate with multiple platform, data, service, and product teams to deliver production-ready GenAI capabilities.
  • Write clear technical documentation including Confluence pages, ADRs, sequence diagrams, and flow diagrams.
  • Participate in hands-on technical evaluation, code reviews, design discussions, and production readiness reviews.

Salary Range-$90,000-$130,000 a year
#LI-KR3
TCS Employee Benefits Summary:
Discretionary Annual Incen tive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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